Generative AI Applications

What You Will Learn

• 1 Learn the foundational principles of generative AI, including how large language models work and why they produce the outputs they do.
• 2 Understand prompt engineering techniques that produce consistent, high-quality results across different generative AI tools.
• 3 Apply generative AI to content creation workflows including writing, editing, summarization, and tone adaptation.
• 4 Explore how generative AI accelerates software development through code generation, debugging, and documentation assistance.
• 5 Analyze how generative AI transforms data analysis, reporting, and business intelligence workflows.
• 6 Understand how to build and customize AI-powered chatbots and conversational agents for business applications.
• 7 Discover how generative AI supports image, audio, and multimodal content creation in professional contexts.
• 8 Apply retrieval-augmented generation and knowledge base integration to build domain-specific AI applications.
• 9 Develop a framework for evaluating AI output quality, managing hallucinations, and ensuring factual accuracy.
• 10 Implement responsible AI practices including bias detection, privacy protection, and ethical deployment standards.
• 11 Build a generative AI strategy for an organization, including tool selection, team readiness, and change management.
• 12 Create an end-to-end generative AI project plan that integrates technical, ethical, and business considerations into a deployable solution.